摘要
提出了一种复杂背景下自动、实时地检测和跟踪非刚体目标算法。该算法利用自适应的背景减除方法,在复杂背景条件下提取出运动目标;采用颜色直方图模型为特征的均值平移法作为跟踪算法。试验结果验证了该算法的实时性和有效性。
An automatic, real-time no-rigid detection and tracking algorithm is presented. We detect moving objects by use the dynamic background model algorithm. Color histogram is not affected by object＇s scale and has good robustness, and mean shift algorithm is a nonparametric density gradient estimator. The robustness and speed is improved by integrating a mean-shift based model update technique with an adaptive change detection method. The result of the experiment shows the method is practical and efficient.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2007年第1期82-85,共4页
Journal of University of Electronic Science and Technology of China
